CS 6742

CS 6742

Course information provided by the Courses of Study 2018-2019. Courses of Study 2019-2020 is scheduled to publish mid-June.

More and more of life is now manifested online, and many of the digital traces that are left by human activity are increasingly recorded in natural-language format. This research-oriented course examines the opportunities for natural language processing to contribute to the analysis and facilitation of socially embedded processes. Possible topics include sentiment analysis, learning social-network structure, analysis of text in political or legal domains, review aggregation systems, analysis of online conversations, and text categorization with respect to psychological categories.

When Offered Fall.

Permission Note Enrollment limited to: Ph.D./MS students.
Prerequisites/Corequisites Prerequisite: CS 2110 or equivalent programming experience, a course in artificial intelligence or any relevant subfield (e.g., NLP, information retrieval, machine learning).

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: INFO 6742

  • 3 Credits GradeNoAud

  • 12639CS 6742  LEC 001

    • TR
    • Danescu-Niculescu-Mizil, C